Doctoral researcher · Cybersecurity · AI governance
Making AI governance something an organization can actually do.
I'm an Applied Doctorate candidate in Cyber Security and a former federal cybersecurity professional. My proposed dissertation research maps NIST 800-53 security controls to the NIST AI Risk Management Framework to put algorithmic equity into practice, and I build the tools that explore those ideas.
Applied Doctorate
in Cyber Security, East Bridge University
14 platforms
governance and technical writing
20+ years
federal cybersecurity
CISSP · CISA · CEH
plus AWS Solutions Architect
Proposed dissertation research
Operationalizing Algorithmic Equity
A socio-technical overlay framework for mapping NIST 800-53 security controls to the NIST AI Risk Management Framework (AI RMF 1.0). Organizations already run mature security control programs. The question is how far those same controls can carry fairness and accountability for AI systems.
Research overview →Platforms
Research ideas, built as working software
Theme 01
Operationalizing governance controls
Enclave-AI · Enclave-SSP · Enclave-GAP · Enclave-POL · Enclave-Vault
Theme 02
Comparative regulation across jurisdictions
Ley81-Suite · TerraGuard-PT · Borealis-Compliance
Theme 03
Documentation quality and technical communication
Docentriq · DocAudit-AI · Microcopy-Lab · Sprint2Docs-AI · KnowledgeBridge-AI · Research2Docs-AI
The through line
“Twenty years of securing federal systems taught me that a control only matters when someone can implement it, evidence it, and explain it. AI governance is no different.”
Marc Larouche
Military veteran · CISSP · Doctoral candidate · Tool builder